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Abstract

The present study investigates the excess viscosity behavior of binary mixtures of 2-propenol and benzyl alcohol over the entire composition range at temperatures 298.15, 308.15, and 318.15 K. Experimental viscosity values were measured and correlated using the Redlich–Kister polynomial equation to estimate interaction parameters and to assess molecular interactions in the system. The theoretical viscosities were computed using several predictive models, including the Eyring, Kendall–Monroe, Frenkel, Dey (modified), Hind, and Wijk mixing laws. Correlation coefficients and standard deviations were further examined using the Jouyban–Acree and McAllister four-body models. The comparison between experimental and calculated excess viscosity values demonstrates good agreement, confirming the validity of the selected models. The observed negative excess viscosity throughout the composition range indicates specific dipole–dipole and hydrogen bonding interactions between the unlike molecules. This study provides a comprehensive insight into the molecular association and non-ideal behavior of alcohol-based binary mixtures, relevant for industrial solvent design and thermo physical modeling.

Keywords

Excess viscosity, Hind, Jouyban–Acree, McAllister model, Hydrogen bonding

Introduction

Liquids and liquid mixtures are central to many chemical, pharmaceutical, and industrial processes and understanding their transport properties especially viscosity is essential for design, optimization, and safety considerations. In particular, binary mixtures of alcohols often exhibit non-ideal behavior due to molecular interactions such as hydrogen bonding, dipole–dipole forces, and steric effects, making them a useful tested for studying mixing behavior and correlation modeling. Binary systems involving alcohols are of particular interest because of their strong tendency for hydrogen bonding and association–dissociation equilibria. 2-Propenol (allyl alcohol) and benzyl alcohol differ significantly in molecular size, polarity, and hydrogen-bonding capabilities. The interaction between these components often leads to complex thermodynamic behavior, reflected in deviations from ideal mixing. Both 2-propenol and benzyl alcohol possess wide industrial and pharmaceutical importance due to their physicochemical versatility. 2-propenol is commonly used as a solvent, antiseptic, and cleaning agent in pharmaceutical formulations and laboratory applications because of its volatility and bactericidal properties [1]. Benzyl alcohol, on the other hand, acts as a preservative, local anesthetic, and solvent in drug preparations, cosmetics, and perfumery products due to its low toxicity and aromatic characteristics [2]. In industrial contexts, 2-propenol serves as a raw material in paints, coatings, and fuel additives, while benzyl alcohol is utilized in resins, dye carriers, and photographic materials [3]. The binary mixture of 2-propenol and benzyl alcohol provides an excellent system for investigating non-ideal molecular interactions and thermo physical behavior, which are crucial for designing efficient solvent systems in chemical and pharmaceutical industries [4]. Such studies also aid in understanding molecular association, hydrogen bonding, and deviation from ideality, enabling optimized process control and enhanced formulation design. In continuation of our previous investigations [5-10] on binary liquid mixtures, the present study aims to analyze the thermo physical and viscous behavior of the 2-Propenol + Benzyl alcohol system at three different temperatures 298.15 K, 308.15 K, and 318.15 K and range of mole fractions. The experimental data were analyzed to evaluate the excess viscosity (η?) by six mixing predictive models, such as, Eyring [11-12], Kendall–Monroe [13], Frenkel [14], Dey [15] (Modified), Hind [16], and Wijk[17]. Excess viscosity (η?) and excess molar volume (V?), are very sensitive parameters for understanding molecular interactions and deviations from ideal behavior. The Redlich–Kister [18] polynomial was employed to correlate the excess properties with composition and to obtain polynomial coefficients that describe the strength and type of interactions between unlike molecules. Additionally, the McAllister [19] four-body and Jouyban–Acree [20-21] correlation models were applied to theoretically interpret the viscosity–composition relationship and assess their predictive accuracy through comparison with literature [22] values. The main objectives of the present work are to (i) analyze molecular interactions using excess viscosity and excess molar volume, (ii) correlate the data using the Redlich–Kister polynomial and suitable theoretical models, (iii) examine the temperature dependence of these interactions, and (iv)Identify the most accurate correlation model for predicting viscosity in hydrogen-bonded binary systems. This study provides valuable information regarding the molecular association and thermodynamic behavior of alcohol mixtures, contributing to their efficient use in industrial and pharmaceutical formulations.

Theoretical Modeling          

Eyring relation:   

                                (1)

Kendall-Munroe:   

                                (2)

Hind et al: 

                               (3)

Frenkel relation:   

                             (4)

Dey et al (modified Frenkel relation):    

                             (5)

Wijk (WK) relation: 

                            (6)

Where  ηand η2  are viscosity of pure liquids and η  is the viscosity of binary liquid mixture.

RESULTS AND DISCUSSION

The Redlich–Kister polynomial equation (7) is widely used to correlate the excess properties of binary liquid mixtures and to elucidate the nature of molecular interactions between the components. The obtained coefficients (A?–A?) for the binary mixture of 2-propenol + benzyl alcohol at three temperatures 298.15, 308.15, and 318.15 K along with the corresponding standard deviations (δ ) calculated by equation (8) are presented in Table 1.A close observation reveals that at 298.15 K, the first coefficient A? = –1.909 exhibits a relatively large negative value, indicating strong specific interactions such as hydrogen bonding and dipole–dipole forces between the component molecules. The magnitude of A? decreases progressively with increasing temperature from –1.909 to –0.736, suggesting a weakening of molecular association as thermal agitation becomes more significant at higher temperatures.

Table1. Standard deviation (δ) and Coefficient of Redlich-Kister polynomial

2-Propenol+Benzyl alcohol

T/K

A0

A1

A2

A3

δ

298.15

-1.909

0.014

-0.040

-0.337

0.005

308.15

-1.262

-0.011

-0.086

-0.233

0.007

318.15

-0.736

-0.159

-0.115

-0.005

0.006

The subsequent coefficients (A?–A?) show both positive and negative deviations, revealing the non-ideal nature of the mixture and the presence of composition-dependent interactions. The sign changes of these coefficients imply a complex interplay between self-association of alcohol molecules and cross-interactions between 2-propenol and benzyl alcohol. The standard deviation (δ ) values remain very low (0.005–0.007) across all temperatures, confirming that the Redlich–Kister polynomial provides an excellent fit to the experimental data and accurately represents the variation of excess viscosity with mole fraction. Deviation in viscosity ( ) were represented in form of polynomial by redlich kister for correlating measured data as;

Where Ai represent the polynomial coefficient computed by least square multiple regression method and compared in term of standard deviation (δ) by the equation given below;

Excess viscosity was computed by the following relation;

The experimental and theoretically computed values of excess viscosity (η?) for the binary mixture of 2-propenol + benzyl alcohol at temperatures 298.15, 308.15, and 318.15 K are presented in table2. The theoretical estimations were made using six predictive mixing models such as Eyring, Kendall–Monroe (KM), Frenkel (Fre), Dey (modified) relation, Hind–Ubbelhode (H–U), and Wijk (WK) equations were used to calculate the theoretical values of viscosity over the entire range of mole fractions at different temperature. At all studied temperatures, the experimental η? values are negative throughout the composition range, reaching a minimum near the equimolar region (X? ≈ 0.45–0.55). This negative deviation indicates structure-breaking interactions between unlike molecules, where the dipole–dipole and hydrogen-bonding forces between 2-propenol and benzyl alcohol molecules are weaker than the self-associative interactions present in the pure components. Such behavior is characteristic of systems where dispersion forces dominate over specific interactions, leading to a decrease in the flow resistance of the mixture compared to the ideal behavior. Clear temperature dependence is observed in the data. As the temperature increases from 298.15 K to 318.15 K, the magnitude of negative η? decreases from–0.48 to –0.20, signifying a weakening of associative forces with rising temperature. This trend can be attributed to thermal agitation disrupting intermolecular hydrogen bonds, resulting in less ordered molecular structures and a reduction in non-ideality. Among the six theoretical models, the Eyring and KM relations show closer agreement with the experimental values across the composition range, particularly at higher temperatures, suggesting that these models better represent the viscous behavior of the system under study.

Reference

  1. Toker, O. S., Konar, N. & Dogan, M. (2021). Thermodynamic and physicochemical properties of binary solvent mixtures involving alcohols. J. Mol. Liq., 337, 117356. https://doi.org/10.1016/j.molliq.2021.117356
  2. Zhang, X., Chen, L. & Wang, Q. (2020). Solvent effects of benzyl alcohol in chemical and pharmaceutical processes: Physicochemical and theoretical insights. ACS Omega, 5(8), 4221–4230. https://doi.org/10.1021/acsomega.0c00619
  3. Singh, S., Yadav, M. & Kumar, S. (2022). Thermophysical and transport properties of binary liquid mixtures containing alcohols at different temperatures. J. Mater. Res. Technol., 17, 1152–1163. https://doi.org/10.1016/j.jmrt.2022.02.092
  4. Ali, A. & Nain, A. K. (2001). Volumetric, viscometric and refractive index studies of molecular interactions in binary mixtures of butanol with acetonitrile at different temperatures. J. Chem. Eng. Data, 46(3), 518–522. https://doi.org/10.1021/je000246u
  5. Awasthi, N. (2025). Estimation of excess molar volume and viscosity of associated polymeric solutions at 298.15–318.15 K. Res. J. Chem. Sci., 15(2), 94–102.
  6. Awasthi, N. (2022). Viscosity and excess viscosity for non-polar system from 298.15 to 323.15 K. Res. J. Recent Sci., 11(2), 23–33.
  7. Awasthi, N. (2025). Quantitative analysis of viscosity deviations in hydrogen-bonded binary systems involving 2-propenol. Journal of Pharmaceutical Sciences, 1(10), 685–695. https://doi.org/10.5281/zenodo.17462086
  8. Awasthi, N., Kumar, A., Srivastava, U., Srivastava, K. & Shukla, R. K. (2019). Excess volume and surface tension of some flavored binary alcohols at temperatures 298.15, 308.15 and 318.15 K. Phys. Chem. Liq., 57(6), 800–815.https://doi.org/10.1080/00319104.2019.1582954
  9. Awasthi, N., Gangwar, V. S., Prakash, S. K. S. G. & Shukla, R. K. (2017). Viscosity and excess viscosity for associated binary systems at T = (298.15, 308.15 and 318.15 K). Int. J. Thermodyn., 20(4), 183–189. ); https://doi.org/10.5541/ijot.337946
  10. Shukla, R. K., Awasthi, N., Kumar, A., Shukla, A. & Pandey, V. K. (2011). Prediction of associational behavior of binary liquid mixtures from viscosity data at 298.15–313.15 K. J. Mol. Liq., 158(2), 131–138.https://doi.org/10.1016/j.molliq.2010.11.010
  11. Dey, R., Harshvardhan, A. & Verma, S. (2015). Viscometric investigation of binary, ternary and quaternary liquid mixtures: Comparative evaluation of correlative and predictive models. J. Mol. Liq., 211, 686–694.https://doi.org/10.1016/j.molliq.2015.08.050
  12. Kandpal, C., Pandey, J. D., Dey, R., Singh, A. K. & Singh, V. K. (2021). Comparative study of viscosity, diffusion coefficient, thermal conductivity and Gibbs free energy for binary liquid mixtures at varying temperatures. J. Mol. Liq., 333, 115858.https://doi.org/10.1021/ja02254a012
  13. Kendall, J. & Monroe, K. P. (1917). The viscosity of liquids. II. The viscosity–composition curve for ideal liquid mixtures. J. Am. Chem. Soc., 39(9), 1787–1802.https://doi.org/10.1021/ja02254a012
  14. Frenkel, Y. I. (1946). Petroleum, 9, 27. London.
  15. Dey, R., Saini, A. & Hingorani, H. (2016). A modified Frenkel approach for viscometric prediction of binary and multicomponent liquid mixtures. RSC Adv., 6(49), 43838–43843.https://doi.org/10.1039/C6RA04657H
  16. Hind, R. K., McLaughlin, E. & Ubbelhode, A. R. (1960). Structure and viscosity of liquids: Camphor + pyrene mixtures. Trans. Faraday Soc., 56, 328–330.
  17. Ramirez-de-Santiago, M. (2024). Viscosity of binary liquid mixtures: A comparative analysis of mixing rules. Ind. Eng. Chem. Res., 63(51), 22470–22480.https://doi.org/10.1021/acs.iecr.4c02760
  18. Redlich, O. & Kister, A. T. (1948). Algebraic representation of thermodynamic properties and the classification of solutions. Ind. Eng. Chem., 40(2), 345–348. https://doi.org/10.1021/ie50458a036
  19. McAllister, R. A. (1960). The viscosity of liquid mixtures. AIChE J., 6(3), 427–431. https://doi.org/10.1002/aic.690060316
  20. Jouyban, A., Soleymani, J., Jafari, F., Khoubnasabjafari, M. & Acree, W. E. (2013). Mathematical representation of viscosity of ionic liquid + molecular solvent mixtures at various temperatures using the Jouyban–Acree model. J. Chem. Eng. Data, 58(6), 1523–1528.; https://doi.org/10.1021/je400122f
  21. Jouyban, A., Kenndler, E. & Soltanpour, S. (1999). Viscosity of binary solvent mixtures at various temperatures. Chem. Eng. Commun., 173(1), 107–127. https://doi.org/10.1080/00986449908912364
  22. Ching-Ta, C. & Chein-Hsiun, T. (2007). Density, viscosity, refractive indexes and surface tension for binary mixtures of 2-propenol + benzyl alcohol, 2-propenol + 2-phenyl ethanol, and benzyl alcohol + 2-phenyl ethanol at T = (298.15, 308.15, and 318.15 K). J. Chem. Eng. Data, 52, 1760–1767. https://doi.org/10.1021/je700176t.

Photo
Dr. Naveen Awasthi
Corresponding author

Department of Chemistry, Janta College Bakewar (206124), Etawah, Uttar Pradesh, India

Photo
Dr. Jyoti Bhadauria
Co-author

Department of Chemistry, Janta College Bakewar (206124), Etawah, Uttar Pradesh, India

Photo
Dr. Nalini Diwedi
Co-author

Department of Chemistry, Raghunath Girls (P.G) College Meerut-250001, Uttar Pradesh, India

Photo
Dr. Divya Jyoti Mishra
Co-author

Department of Ag. Chemistry, Janta College Bakewar (206124), Etawah, Uttar Pradesh, India

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Dr. Vivek Kumar Pandey
Co-author

Department of Chemistry, D.B.S. (P.G) College Govind Nagar, Kanpur, Uttar Pradesh, India

Photo
Dr. Sonu Diwedi
Co-author

Department of Chemistry, D.B.S. (P.G) College Dehradun, Uttarakhand, India

Naveen Awasthi*, Jyoti Bhadauria, Nalini Dwivedi, Divya Jyoti Mishra, Sonu Dwivedi, Vivek Kumar Pandey, Predictive Modeling of Thermo Physical Properties in Deep Eutectic Solvent Systems Using Jouyban–Acree and Mcallister Correlations, Int. J. Sci. R. Tech., 2025, 2 (11), 521-529. https://doi.org/10.5281/zenodo.17657162

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